Andreas Krause
Impact in
- Statistical and Nonlinear Physics top 0.2%
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 0.1%
- Machine Learning and Algorithms
- Gaussian Processes and Bayesian Inference
Papers in
-
- Machine Learning and Algorithms 49
- Gaussian Processes and Bayesian Inference 36
- Machine Learning and Data Classification 14
-
- Advanced Bandit Algorithms Research 39
- Co-authors
- Carlos Guestrin (24 shared papers)Jure Leskovec (6 shared papers)Eric Schulz (3 shared papers)Maarten Speekenbrink (3 shared papers)Jeanne M. VanBriesen (3 shared papers)Christos Faloutsos (2 shared papers)Manuel Gomez-Rodriguez (4 shared papers)Natalie Glance (1 shared paper)
- Journals
- Annals of the Rheumatic Diseases (9 papers)Journal of Machine Learning Research (7 papers)Annals of the New York Academy of Sciences (5 papers)Lara D. Veeken (4 papers)RMD Open (4 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Andreas Krause
270 papers receiving 15.2k citations
Andreas Krause's Hit Papers
Peers
Comparison fields: 5 of 214
- Statistical and Nonlinear Physics 2.2k
- Artificial Intelligence 5.1k
- Computer Science Applications 710
- Computational Theory and Mathematics 1.9k
- Computer Networks and Communications 2.8k
Countries citing papers authored by Andreas Krause
This map shows the geographic impact of Andreas Krause's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andreas Krause with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Krause more than expected).
Fields of papers citing papers by Andreas Krause
This network shows the impact of papers produced by Andreas Krause. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas Krause. The network helps show where Andreas Krause may publish in the future.
Co-authors
The 25 scholars most cited alongside Andreas Krause, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 278 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cost-effective outbreak detection in networks Hit paper breakdown → | 2007 | 1662 |
| 2 | A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions Hit paper breakdown → | 2018 | 1145 |
| 3 | Near-Optimal Sensor Placements in Gaussian Processes: Theory, Efficient Algorithms and Empirical Studies Hit paper breakdown → | 2008 | 785 |
| 4 | Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting Hit paper breakdown → | 2012 | 530 |
| 5 | Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design Hit paper breakdown → | 2009 | 466 |
| 6 | Inferring networks of diffusion and influence Hit paper breakdown → | 2010 | 455 |
| 7 | Unfreezing the robot: Navigation in dense, interacting crowds Hit paper breakdown → | 2010 | 395 |
| 8 | 2005 | 301 | |
| 9 | 2012 | 293 | |
| 10 | 2006 | 272 | |
| 11 | 2008 | 271 | |
| 12 | Navigating the protein fitness landscape with Gaussian processes Hit paper breakdown → | 2012 | 239 |
| 13 | 2007 | 209 | |
| 14 | 2011 | 208 | |
| 15 | 2004 | 201 | |
| 16 | 2013 | 197 | |
| 17 | 2011 | 197 | |
| 18 | 2005 | 183 | |
| 19 | 2014 | 178 | |
| 20 | 2015 | 175 |
About Andreas Krause
Andreas Krause is a scholar working on Artificial Intelligence, Management Science and Operations Research, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 278 papers that have together received 15.8k indexed citations. Recurring topics across this work include Machine Learning and Algorithms (49 papers), Advanced Bandit Algorithms Research (39 papers), Gaussian Processes and Bayesian Inference (36 papers), Complexity and Algorithms in Graphs (22 papers), Mobile Crowdsensing and Crowdsourcing (21 papers), Advanced Multi-Objective Optimization Algorithms (18 papers), Optimization and Search Problems (16 papers) and Machine Learning and Data Classification (14 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.2k citations), Artificial Intelligence (5.1k citations), Computer Science Applications (710 citations), Computational Theory and Mathematics (1.9k citations) and Computer Networks and Communications (2.8k citations). Andreas Krause has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Carlos Guestrin, Jure Leskovec, Eric Schulz, Maarten Speekenbrink, Jeanne M. VanBriesen, Christos Faloutsos, Manuel Gomez-Rodriguez, Natalie Glance, Ajit Singh and Matthias Seeger. Their work appears in journals such as Annals of the Rheumatic Diseases, Journal of Machine Learning Research, Annals of the New York Academy of Sciences, Lara D. Veeken and RMD Open.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.